Table REF  shows the results on the DIBCO 2011 data set.
From the table we can see that using locally uniform in multiscale can improve the performance of both RR and SR methods.
Combining the outputs from different iterations can provide slightly better performance for the SR method and slightly worse performance in terms of F-measure for the RR method, due to the fact the the SR method contains more convolutional layers than the RR method.
We also compare the results of the Sauvola's threshold [1]} based on the enhanced images computed with different refinements in Table REF .
The local Sauvola's threshold provides a slightly worse performance than the global Otsu's threshold [2]}.
In the following section, we provide the results of both SR and RR methods using all the refinement steps (Fusion+MS+Uniform+Otsu), named as DeepOtsu.
<TABLE>